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Diamond Infrared Emission Bands in Circumstellar Media
Open accessAbstract
Since the discovery of small diamond grains in meteorites, the presence of such grains in the interstellar medium has been suspected. Here we report what we think to be the first unambiguous evidence of the presence of small crystallites of diamond in the dusty envelopes surrounding stars. Thanks to experimental results obtained in different laboratories on the diamond growth process, we identify two peculiar unidentified infrared emission bands at 3.43 and 3.53 μm as the vibrational modes of hydrogen-terminated crystalline facets of diamond. The intensities of these two strong features observed in the envelope of HD 97048 correspond to a mass of 10 -10 to 10 -9 M ☉ of diamond dust at an equilibrium temperature of ~1000 K.
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Citations
Cited by
The properties and applications of nanodiamonds
Mochalin, V. N., Shenderova, O., Ho, D., & Gogotsi, Y. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2011.209 · Cited by 2,745
Chemistry in Protoplanetary Disks
Henning, T., & Semenov, D. (2013) · Chemical Reviews · doi:10.1021/cr400128p · Cited by 267
Carbon molecules in space: from astrochemistry to astrobiology
Ehrenfreund, P., & Sephton, M. A. (2006) · Faraday Discussions · doi:10.1039/b517676j · Cited by 114
Metadata
- Authors
- Guillois, O., Ledoux, G., & Reynaud, C.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 1999-08-20
- Volume
- 521
- Issue
- 2
- Pages
- L133-L136
- ISSN
- 0004-637X (ISSN-L)
- OpenAlex
- W2080254629
- Cited by
- 182
- References
- 0
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Guillois, O., Ledoux, G., & Reynaud, C. (1999). Diamond Infrared Emission Bands in Circumstellar Media. The Astrophysical Journal. https://doi.org/10.1086/312199
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
